A definitive study that uses a blend of theory, history, and data to analyze the evolution of the US brewing industry; draws on theoretical tools of industrial organization, game theory, and management strategy. This definitive study uses theory, history, and data to analyze the evolution of the US brewing industry from a fragmented market to an emerging oligopoly. Drawing on a rich and extensive data set and applying the theoretical tools of industrial organization, game theory, and management strategy, the authors provide new quantitative and qualitative perspectives on an industry they characterize as "a veritable market laboratory." The US brewing industry illustrates many of the important topics in industrial organization, economic policy, and business strategy, including industry concentration, technological change, brand proliferation, and mixed pricing strategies. After giving an overview of the industry, Tremblay and Tremblay discuss basic demand and cost conditions and industry concentration. They describe the evolution of the leading mass-producing brewers and the emergence of both specialty brewers and imports. They analyze the history and the causes of product and brand proliferation (showing how product proliferation leads to firm dominance), discuss price, advertising, merger, and other management strategies, and examine the industry's economic performance. Finally, they discuss public policy, including anti-trust and public health issues. The authors' set of industry, firm, and brand data for the period 1950-2002 -- the most comprehensive data set of economic variables available for an oligopolistic industry -- will be available to purchasers of the book who send an e-mail request. Data sources are listed in an appendix. Robert S. Weinberg, a management strategy scholar and leading consultant to the brewing industry, contributes a foreword. This ambitious, authoritative work, capping the authors' 25-year study of the brewing industry, will be a valuable resource for industry analysts, economists, and students of industrial organization.
This book covers the main topics that students need to learn in a course on Industrial Organization. It reviews the classic models and important empirical evidence related to the field. However, it will differ from prior textbooks in two ways. First, this book incorporates contributions from behavioral economics and neuroeconomics, providing the reader with a richer understanding of consumer preferences and the motivation for many of the business practices we see today. The book discusses how firms exploit consumers who are prone to making mistakes and who suffer from cognitive dissonance, attention lapses, and bounded rationality, for example and will help explain why firms invest in persuasive advertising, offer 30-day free trials, offer money-back guarantees, and engage in other observed phenomena that cannot be explained by the traditional approaches to industrial organization. A second difference is that this book achieves a balance between textbooks that emphasize formal modeling and those that emphasize the history of the field, empirical evidence, case studies, and policy analysis. This text puts more emphasis on the micro-foundations (i.e., consumer and producer theory), classic game theoretic models, and recent contributions from behavioral economics that are pertinent to industrial organization. Each topic will begin with a discussion of relevant theory and models and will also include a discussion of concrete examples, empirical evidence, and evidence from case studies. This will provide students with a deeper understanding of firm and consumer behavior, of the factors that influence market structure and economic performance, and of policy issues involving imperfectly competitive markets. The book is intended to be a textbook for graduate students, MBAs and upper-level undergraduates and will use examples, graphical analysis, algebra, and simple calculus to explain important ideas and theories in industrial organization.
Calmly nestled among the glacial streams and hills of central New York, residents of Ithaca may find it hard to believe that their city began with a rocky start. Transient teamsters and salt barge workers gave the town a rowdy reputation in its pioneer days, and the fledgling village seemed doomed as the most isolated place on the Eastern Seaboard. Over the course of the nineteenth century, Ithacas character swung like a pendulum from debauchery to temperance, from boisterous vagrancy to religious fervor and reform. Though the town was hit hard by the Depression of 1837 and periodically ravaged by fire and flood, Ithaca survived to become a lively and bustling community and an important center of education, technological innovation and cultural vibrancy. In this comprehensive history, Carol Kammen shows exactly why Ithaca is known as the Crown of Cayuga.
From the author of Statistical Applications for Health Information Management, this text provides a solid foundation of the fundamentals of statistics in health information technology in an accessible and reader-friendly format. A single case study is woven throughout the book to serve as an example for each statistical process covered. Attention is given to morbidity and mortality measures, graphical display of data, measurement, central tendency and variability, normal distribution and statistical inference, and inferential statistics. Written specifically for health information technology students who need a basic understanding of the topic, this text is ideal for those with a modest background in mathematics and no prior training in statistics. Features: • Introduces students to how statistical techniques can be used to describe and make inferences from healthcare data. • Includes traditional hospital statistics such as average length of stay and total inpatient service days. • Uses examples in both SPSS and Microsoft Excel.
This book advances the theory of action research, analyzing how it can be used to develop autonomy among language teachers. Although acknowledging that the research process is not always linear, the authors proceed according to a clear progression which teachers can adapt to their needs. They provide examples, narratives, questions and tasks, and give multiple ideas for establishing research questions, choosing appropriate methodologies, adapting to existing contexts, and collecting data. They also suggest possible instruments, and give clear instructions for carrying out the most common kinds of statistical procedures, and ideas for presenting, discussing, and writing up research findings. In spite of its practical bias, the book is theoretically and ethically rigorous, and contains an extensive glossary for quick and easy reference. It will appeal to trainee teachers, in-service teachers wanting to expand their own professional horizons or working for a higher qualification, and is an invaluable reference for teacher-educators and scholars.
Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices; Calibration of Student t distribution by maximum likelihood; Orthogonal regression and estimation of equity factor models; Simulations of geometric Brownian motion, and of correlated Student t variables; Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula; Cubic spline fitting of yields curves and implied volatilities; Solution of Markowitz problem with no short sales and other constraints; Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.
Offering up-to-date, comprehensive coverage of disease progression, diagnosis, management, and prognosis, Textbook of Pediatric Rheumatology is the definitive reference in the field. For physicians caring for children with rheumatic diseases, this revised 8th Edition is an unparalleled resource for the full spectrum of rheumatologic diseases and non-rheumatologic musculoskeletal disorders in children and adolescents. Global leaders in the field provide reliable, evidence-based guidance, highlighted by superb full-color illustrations that facilitate a thorough understanding of the science that underlies rheumatic disease. Offers expanded coverage of autoinflammatory diseases, plus new chapters on Takayasu Arteritis and Other Vasculitides, Mechanistic Investigation of Pediatric Rheumatic Diseases, Genetics and Pediatric Rheumatic Diseases, and Global Issues in Pediatric Rheumatology. Reflects the changes in diagnosis, monitoring, and management that recent advances have made possible. Covers the latest information on small molecule treatment, biologics, biomarkers, epigenetics, biosimilars, and cell-based therapies, helping you choose treatment protocols based on the best scientific evidence available today. Features exhaustive reviews of the complex symptoms, signs, and lab abnormalities that characterize these clinical disorders.
Published in conjunction with the American Health Information Management Association(R) (AHIMA), this title covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). Computer applications used in the real world are emphasized throughout the book, with only a minimal focus on manual applications.
Advances in Pediatrics reviews the most current practices in pediatrics. A distinguished editorial board, headed by Dr.Michael Kappy, identifies key areas of major progress and controversy and invites expert pediatricians to contribute original articles devoted to these topics. These insightful overviews bring concepts to a clinical level and explore their everyday impact on patient care. Topics such as fetal diagnosis and surgical intervention, updates in pharmacology, and fatty liver disease are represented, highlighting the most current and relevant information in the field.
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